S. An, B. Lee, and D. Shin, A survey of intelligent transportation systems, Int. Conf. on Computational Intelligence, Communication Systems and Networks (CICSYN), pp.332-337, 2011.

C. Bettisworth, M. Burt, A. Chachich, R. Harrington, J. Hassol et al., Status of the dedicated short-range communications technology and applications: Report to congress, 2015.

N. Agatz, A. Erera, M. Savelsbergh, and X. Wang, Optimization for dynamic ride-sharing: A review, European Journal of Operational Research, vol.223, issue.2, pp.295-303, 2012.

K. Augustin, R. Gerike, M. J. Sanchez, and C. Ayala, Analysis of intercity bus markets on long distances in an established and a young market: The example of the u.s. and germany, Research in Transportation Economics, vol.48, pp.245-254, 2014.

R. Gerike and A. Schulz, Workshop synthesis: Surveys on long-distance travel and other rare events, Transportation Research Procedia, vol.32, pp.535-541, 2018.

E. E. Agency, Focusing on environmental pressures from long-distance transport, Europe Environment Agency (EEA) Report, issue.7, pp.1-108, 2014.

A. Y. Lam, Y. Leung, and X. Chu, Autonomous-vehicle public transportation system: Scheduling and admission control, IEEE Transactions on Intelligent Transportation Systems, vol.17, issue.5, pp.1210-1226, 2016.

C. Tang, A. Ceder, S. Zhao, and Y. Ge, Vehicle scheduling of singleline bus service using operational strategies, IEEE Transactions on Intelligent Transportation Systems, vol.20, issue.3, pp.1149-1159, 2019.

Y. Jia, W. Xu, and X. Liu, An optimization framework for online ridesharing markets, IEEE Int. Conf. on Distributed Computing Systems, pp.826-835, 2017.

X. Wang, Optimizing ride matches for dynamic ride-sharing systems, 2013.

M. Zhu, X. Liu, and X. Wang, An online ride-sharing path-planning strategy for public vehicle systems, IEEE Transactions on Intelligent Transportation Systems, vol.20, issue.2, pp.616-627, 2019.

J. Liu, E. Pacitti, P. Valduriez, D. Oliveira, and M. Mattoso, Multiobjective scheduling of scientific workflows in multisite clouds, Future Generation Computer Systems, vol.63, pp.76-95, 2016.
URL : https://hal.archives-ouvertes.fr/lirmm-01342203

G. Cui, J. Luo, and X. Wang, Personalized travel route recommendation using collaborative filtering based on gps trajectories, vol.11, pp.284-307, 2017.

Z. Wang, A. Shafahi, and A. Haghani, Scda: School compatibility decomposition algorithm for solving the multi-school bus routing and scheduling problem, Int. Journal of Digital Earth, vol.11, issue.3, pp.284-307, 2017.

Y. Liu, C. Liu, N. J. Yuan, L. Duan, Y. Fu et al., Intelligent bus routing with heterogeneous human mobility patterns, Knowledge and Information Systems, vol.50, issue.2, pp.383-415, 2017.

H. Slavin, Q. Yang, D. Morgan, A. Rabinowicz, J. Brandon et al., Lane-level vehicle navigation for vehicle routing and traffic management, U.S. Patent, vol.9, pp.414-416, 2018.

N. O. Alsrehin, A. F. Klaib, and A. Magableh, Intelligent transportation and control systems using data mining and machine learning techniques: A comprehensive study, IEEE Access, vol.7, pp.49-830, 2019.

V. Jalaparti, P. Bodík, I. Menache, S. Rao, K. Makarychev et al., Network-aware scheduling for data-parallel jobs: Plan when you can, ACM Conf. on Special Interest Group on Data Communication (SIGCOMM), pp.407-420, 2015.

M. Maheswaran, S. Ali, H. J. Siegel, D. A. Hensgen, and R. F. Freund, Dynamic matching and scheduling of a class of independent tasks onto heterogeneous computing systems, Heterogeneous Computing Workshop, pp.30-44, 1999.

M. Wieczorek, R. Prodan, and T. Fahringer, Scheduling of scientific workflows in the ASKALON grid environment, SIGMOD Record, vol.34, issue.3, pp.56-62, 2005.

E. L. Lawler and D. E. Wood, Branch-and-bound methods: A survey, Operations Research, vol.14, issue.4, pp.699-719, 1966.

W. Zhang, brand and bound search algorithm and their complexity, USC/Information Sciences Institute, pp.1-31, 1996.

F. D. , A. Babinec, M. Kajan, P. B. No, M. Florek et al., Path planning with modified a star algorithm for a mobile robot, Procedia Engineering, vol.96, pp.59-69, 2014.

M. Friedrich, M. Müller-hannemann, R. Rückert, A. Schiewe, and A. Schöbel, Robustness as a third dimension for evaluating public transport plans, Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS), vol.4, p.17, 2018.

M. Naumann, L. Suhl, and S. Kramkowski, A stochastic programming approach for robust vehicle scheduling in public bus transport, Procedia -Social and Behavioral Sciences, vol.20, pp.826-835, 2011.

O. Cats and E. Jenelius, Planning for the unexpected: The value of reserve capacity for public transport network robustness, Transportation Research Part A: Policy and Practice, vol.81, pp.47-61, 2015.

, Charter Bus Pricing, vol.27, 2019.

D. Henion, Charter Bus Prices: How to Calculate Your Rental Costs, vol.27, 2019.

, Baidu Maps, vol.28, 2020.

, Google Maps, vol.27, 2019.

G. Britain, Position and direction on the earth's surface, Admiralty Manual of Navigation, vol.1, pp.1-23, 1964.

C. S. Ma and R. H. Miller, Milp optimal path planning for real-time applications, American Control Conference, pp.1-6, 2006.

M. Lv, T. Gao, and N. Zhang, Research of agv scheduling and path planning of automatic transport system, Int. Journal of Control and Automation, vol.9, issue.4, pp.1-10, 2016.

P. Mcilroy, Optimistic sorting and information theoretic complexity, ACM-SIAM Symposium on Discrete Algorithms (SODA), pp.467-474, 1993.

, Sort algorithm in Java, 2019.

D. Gavalas, C. Konstantopoulos, and G. Pantziou, Design and management of vehicle-sharing systems: a survey of algorithmic approaches, Smart Cities and Homes, pp.261-289, 2016.